Principal Product Manager

Own Every Moment at Net App

At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage and integrated data services that help organizations unlock the full potential of their data, from AI to multicloud.

Net App is hiring a principal‑level product leader to own the AI product strategy for Azure Net App Files (ANF)—a first‑party, fully managed enterprise file service on Microsoft Azure, delivered in partnership with Microsoft.

In this role you will translate the fast‑moving AI landscape into differentiated platform capabilities, collaborative roadmap bets with Microsoft, and enterprise outcomes such as performance, data locality, governance, and time‑to‑value for AI pipelines.

• Define a multi‑year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments.
• Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high‑throughput checkpointing) into concrete product requirements and joint go‑to‑market narratives with Microsoft.
• Balance hyperscaler co‑development constraints with Net App differentiation across enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross‑cloud consistency where relevant.

• Own end‑to‑end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning versus other Azure and AI‑native storage options.
• Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines.

• Drive requirements for AI‑centric scenarios:
  • Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O)
  • RAG and enterprise search (datasets, versioning, clones, refresh patterns)
  • Agentic workflows and orchestration (durable shared state, tool/data access patterns)
  • Large multimodal and enterprise datasets (governance, access control, lifecycle)
  • Analytics and simulation adjacencies (HPC/EDA‑style throughput, shared file‑system semantics)

• Partner with Microsoft teams across Azure AI, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics, and core Azure storage/networking dependencies.
• Align ANF’s AI story with Azure‑wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning.

• Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points.
• Engage strategic customers and design partners to validate pain, quantify value, and de‑risk roadmap bets.

• Monitor AI infrastructure trends and competitor moves; translate these into differentiated bets.
• Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums.

• Tailor AI storage strategy for segments where file semantics and performance matter, e.g., semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation—including compliance and data residency requirements.

• 10+ years of product management experience in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi‑team alignment, executive storytelling).
• Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large‑scale file system behavior under parallel workloads.
• Hands‑on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines.
• Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first‑party or deeply partnered services is a strong plus.
• Excell…